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Target shape, not just size, plays a pivotal role in determining detectability during random search. We analyze intermittent L\'evy walks in three dimensions, and mathematically prove that the widely observed Cauchy strategy (L\'evy…

数据结构与算法 · 计算机科学 2026-03-12 Matteo Stromieri , Emanuele Natale , Amos Korman

We introduce the \emph{frugal foraging} model in which a forager performs a discrete-time random walk on a lattice, where each site initially contains $\mathcal{S}$ food units. The forager metabolizes one unit of food at each step and…

物理与社会 · 物理学 2018-02-13 O. Benichou , U. Bhat , P. L. Krapivsky , S. Redner

We study a simple model of a foraging animal that modifies the substrate on which it moves. This substrate provides its only resource, and the forager manage it by taking a limited portion at each visited site. The resource recovers its…

种群与进化 · 定量生物学 2016-11-23 Laila Daniela Kazimierski , Guillermo Abramson , Marcelo Néstor Kuperman

This paper studies a class of enhanced diffusion processes in which random walkers perform L\'evy flights and apply it for global optimization. L\'evy flights offer controlled balance between exploitation and exploration. We develop four…

神经与进化计算 · 计算机科学 2014-07-23 Truyen Tran , Trung Thanh Nguyen , Hoang Linh Nguyen

Many studies on animal and human movement patterns report the existence of scaling laws and power-law distributions. Whereas a number of random walk models have been proposed to explain observations, in many situations individuals actually…

无序系统与神经网络 · 物理学 2015-05-13 D. Boyer , O. Miramontes , H. Larralde

We investigate the movement patterns of three different Neotropical marsupials in an unfamiliar and risky environment. Animals are released in a matrix from which they try to reach a patch of forest. Their movements, performed on a small…

定量方法 · 定量生物学 2019-03-04 B. Ríos-Uzeda , E. Brigatti , M. V. Vieira

All swarm-intelligence-based optimization algorithms use some stochastic components to increase the diversity of solutions during the search process. Such randomization is often represented in terms of random walks. However, it is not yet…

最优化与控制 · 数学 2014-08-25 Xin-She Yang , M. Karamanoglu , T. O. Ting , Y. X. Zhao

We study analytically an intermittent search process in one dimension. There is an immobile target at the origin and a searcher undergoes a discrete time jump process starting at $x_0\geq0$, where successive jumps are drawn independently…

统计力学 · 物理学 2014-12-02 Lukasz Kusmierz , Satya N. Majumdar , Sanjib Sabhapandit , Gregory Schehr

Artificially evolving foraging behavior in simulated legged animals has proved to be a notoriously difficult task. Here, we co-evolve the morphology and controller for virtual organisms in a three-dimensional physically realistic…

神经与进化计算 · 计算机科学 2011-12-22 Nicolas Chaumont , Christoph Adami

What is the most efficient search strategy for the random located target sites subject to the physical and biological constraints? Previous results suggested the L\'evy flight is the best option to characterize this optimal problem,…

最优化与控制 · 数学 2015-01-22 Caibin Zeng , YangQuan Chen

Recent analysis of empirical data [F. Radicchi, A. Baronchelli & L.A.N. Amaral. PloS ONE 7, e029910 (2012)] showed that humans adopt L\'evy flight strategies when exploring the bid space in on-line auctions. A game theoretical model proved…

物理与社会 · 物理学 2012-06-21 Filippo Radicchi , Andrea Baronchelli

L\'evy flights represent the best strategy to randomly search for a target in an unknown environment, and have been widely observed in many animal species. Here, we inspect and discuss recent results concerning human behavior and cognition.…

物理与社会 · 物理学 2013-09-19 Andrea Baronchelli , Filippo Radicchi

The L\'evy hypothesis states that inverse square L\'evy walks are optimal search strategies because they maximise the encounter rate with sparse, randomly distributed, replenishable targets. It has served as a theoretical basis to interpret…

统计力学 · 物理学 2020-02-27 Nicolas Levernier , Olivier Benichou , Johannes Textor , Raphael Voituriez

Cooperation among individuals has been key to sustaining societies. However, natural selection favors defection over cooperation. Cooperation can be favored when the mobility of individuals allows cooperators to form a cluster (or group).…

种群与进化 · 定量生物学 2022-07-21 Genki Ichinose , Daiki Miyagawa , Erika Chiba , Hiroki Sayama

What is the fastest way of finding a randomly hidden target? This question of general relevance is of vital importance for foraging animals. Experimental observations reveal that the search behaviour of foragers is generally intermittent:…

统计力学 · 物理学 2009-11-11 O. Benichou , M. Coppey , M. Moreau , P-H. Suet , R. Voituriez

The L\'evy walk, a type of random walk characterized by linear step lengths that follow a power-law distribution, is observed in the migratory behaviors of various organisms, ranging from bacteria to humans. Notably, L\'evy walks with power…

We consider a one-dimensional search process under stochastic resetting conditions. A target is located at $b\geq0$ and a searcher, starting from the origin, performs a discrete-time random walk with independent jumps drawn from a…

统计力学 · 物理学 2024-08-21 Mattia Radice , Giampaolo Cristadoro

Levy walk is a fundamental model with applications ranging from quantum physics to paths of animal foraging. Taking animal foraging as an example, a natural idea that comes to one's mind is to introduce the multiple internal states for…

统计力学 · 物理学 2019-01-04 Pengbo Xu , Weihua Deng

A combined dynamics consisting of Brownian motion and L\'evy flights is exhibited by a variety of biological systems performing search processes. Assessing the search reliability of ever locating the target and the search efficiency of…

统计力学 · 物理学 2016-09-15 V. V. Palyulin , A. V. Chechkin , R. Klages , R. Metzler

Most global optimization problems are nonlinear and thus difficult to solve, and they become even more challenging when uncertainties are present in objective functions and constraints. This paper provides a new two-stage hybrid search…

最优化与控制 · 数学 2010-07-29 Xin-She Yang , Suash Deb